Hai,
Wrong button. The email went out too quick...
This might be the one, Brian.
The problem was, and is, that the data is composed of two interrelated
sets of variables, from two completely different ways of measurement,
which I have to connect through some "latent" structure. Most variables
ar
Those are only a few of the possible latent models. Factor analysis and
SEM are also latent variable models, as indeed are the mixed models of
nlme, lme4, mmlcr, polr models Then there are the graphical models
of (at least) packages ggm and latentnet, polytomous LDA in package
polLCA ...
Is "ltm" what you want?
packageDescription("ltm")
Package: ltm
Title: Latent Trait Models under IRT
Version: 0.6-1
Date: 2006-10-02
Author: Dimitris Rizopoulos <[EMAIL PROTECTED]>
Maintainer: Dimitris Rizopoulos <[EMAIL PROTECTED]>
Description: Analysis of multivariate dichotomous and polytomous
Hai,
Can anyone help me with some literature (R related) about latent models?
Thanx,
Wilfred
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.
